rrcov3way (version 0.6-1)

satisfaction: Student satisfaction data

Description

The primary assessment tool for analyzing student satisfaction is an annual questionnaire organized into five categories: degree program, course characteristics, teaching, equipment, and overall satisfaction. Each questionnaire comprises 18 standardized questions rated on a ten-point Likert scale (1 = "Strongly Disagree" to 10 = "Strongly Agree"). The original microdata were aggregated by 10 faculties and six academic years. Thus, we have a threeway array with dimensions 10 x 18 x 6.

Usage

data(satisfaction)

Format

A three-way array with dimension 10 x 18 x 6. The first dimension refers to the 10 faculties. The second dimension refers to 18 standardized questions rated on a ten-point Likert scale (1 = "Strongly Disagree" to 10 = "Strongly Agree"). The third dimension refers to six consequtive academic years (2012--2017).

References

Gallo M, Simonacci V, Todorov V (2021) A compositional three-way approach for student satisfaction analysis. In: Filzmoser P, Hron K, Martin--Fernandez JA, Palarea-Albaladejo J (eds) Advances in Compositional Data Analysis, Springer, Cham, pp 143--162

Todorov, V., Simonacci, V., Gallo, M., and Di Palma, M. (2025). Robust tools for three-way component analysis of compositional data: The R package rrcov3way. Behaviormetrika. In press.

Examples

 data(satisfaction)

 t3 <- Tucker3(satisfaction, P=2, Q=2, R=1, coda.transform="clr")
 t3
 t3$A
 t3$B
 t3$C
 t3$G
 plot(t3)
 plot(t3, which="jbplot", xlim=c(-1, 1))